Top Tech Jobs & Startup Jobs in Milwaukee, WI

Drive bookings by prospecting and winning new logos while expanding existing accounts. Engage senior buyers, manage full sales cycles, hit activity and revenue targets, use CRM and sales technologies, collaborate cross-functionally, and maintain accurate forecasting and pipeline management.

Sell Alchemer’s SaaS survey and data-insights platform by prospecting, winning new logos, and growing existing accounts. Manage territory activities, hit call/meeting and revenue targets, use Salesforce/CRM for pipeline and forecasting, collaborate cross-functionally, and engage senior/C-level buyers through complex sales cycles.

Build responsive web applications and scalable frontend/backend services, design secure APIs and databases, implement AI-powered search and asset management features, collaborate on system architecture, and optimize performance and UX for a cloud-native DAM platform.

Build scalable, high-performance systems for an AI-powered Web3 trading platform. Develop blockchain and AI features, design reliable architectures, solve complex engineering challenges, and collaborate with a global, remote team. Senior candidates expected to have strong technical expertise and autonomy.

Own end-to-end full‑stack features: design data models and clinical APIs, build backend services (TypeScript/Nest.js/Node.js on AWS), and implement React+TypeScript frontends. Deliver responsive clinical workflows, reimbursement integrations (MDS), FHIR extensions, EHR/vendor integrations, CI/CD, monitoring, and HIPAA/SOC2 readiness. Partner with clinicians, visit facilities, mentor hires, and iterate with product and design.

Owner of core clinical backend systems: design and build TypeScript/Nest.js APIs, model clinical domains in PostgreSQL/Prisma, implement onboarding/migration flows, ensure CI/CD, monitoring, HIPAA/SOC2 readiness, collaborate with clinical stakeholders, and build monitoring/reporting with Sentry/Datadog on AWS.

Lead and modernize the full post-sales operation, including implementation, support, and customer success for more than 9,000 customers. Own retention, renewals, expansion alignment, forecasting, customer success metrics, and scalable operating models. Lead AI initiatives to improve onboarding and customer experience, oversee post-sale teams, collaborate cross-functionally, and foster continuous improvement in a high-growth B2B SaaS environment.

Build and ship native iOS features in Swift, manage EAS builds and App Store submissions, and contribute to React Native and TypeScript code when needed. Work within Supabase and related backend systems, submit reviewed GitHub pull requests, debug test-user feedback, identify launch requirements, and communicate progress and blockers independently. This is project-based, part-time work reporting directly to the founder.

Design, develop, test, audit, and deploy smart contracts and dApps. Integrate wallets, blockchain APIs, and Web3 infrastructure. Optimize for performance and gas efficiency, collaborate with cross-functional teams, monitor production systems, research emerging protocols, and document technical specifications.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

Lead product strategy, define vision and roadmaps, gather and prioritize requirements, translate objectives into specs and user stories, manage lifecycles from discovery to launch, collaborate with design and engineering, set KPIs, analyze market and customer feedback, and drive data-informed product improvements.

Serve as the company’s first technical hire and founding engineer for Larder, a remote-first professional video networking application. The role requires strong software development expertise and proficiency with AI coding tools such as Claude Code. The engineer will help build the product from its earliest technical foundations and shape the platform’s architecture and implementation.

Design and build AI-powered consumer applications and scalable backend systems. Implement containerized, multi-tenant hybrid-cloud infrastructure, observability, and model/agent execution. Collaborate on architecture, code quality, and drive features from design to deployment.

Provide technical service and support for AI data center systems, including installation, maintenance, troubleshooting hardware and software, and collaborating with clients to ensure high-performance enterprise computing operations.

Serve as primary client contact for a portfolio of loyalty-program clients. Scope and manage end-to-end actuarial analyses rooted in predictive modeling and machine learning, validate model outputs, translate results into clear recommendations and presentations, and partner with analysts and data scientists to deliver high-quality, client-facing work in a fully remote consulting environment.